HPE2-T38 無料問題集「HPE AI and Machine Learning」

（A）Improving algorithm performance

（B）Reducing data storage needs

（C）Enhancing model security

（D）Simplifying the programming process

（A）Understanding of model optimization techniques

（B）Constant internet connectivity

（C）Expertise in a specific programming language

（D）Access to HPE's proprietary data

（A）By limiting data access to specific departments

（B）By reducing the amount of data needed

（C）By enabling faster and more efficient data processing

（D）By increasing the complexity of data processing

（A）Model tuning

（B）Data recovery

（C）Data encryption

（D）Algorithm selection

（A）They streamline the innovation process

（B）They focus only on existing technologies

（C）They discourage new ideas

（D）They reduce the pace of technological advancement

（A）Minimal impact on operations

（B）Increased reliance on manual processes

（C）Significant improvement in operational efficiency

（D）Decrease in overall efficiency

（A）IoT device management

（B）Blockchain technology

（C）Cloud storage optimization

（D）Supporting AI applications like computer vision

（A）By reducing interaction with customers

（B）By providing more personalized customer experiences

（C）By increasing the response time to customer queries

（D）By automating customer complaints only

（A）Feeding data into the model to learn patterns

（B）Testing the model on new data

（C）Deploying the model into production

（D）Programming the model

（A）No specific quality is required

（B）Datasets need not be large

（C）Datasets should consist only of images

（D）Datasets should be well-labeled and clean